Renewable Energy + AI
Research Interests & Ab-initio Enginnering

 

Research Interests: Renewable energy and AI will define the future of humanity.  My research spectrum covers the discovery of novel energy material, the design of smart battery management system, the study of complex power grids, and development of novel algorithms for complex quantum dynamics, and beyond. We focus on applying the cutting-edge physics-based computational models, novel algorithms, and AI techniques in our research.

Ab-initio Engineering: We are devoted to design and optimize distributed generations according to the first principle (Ab-initio). We aim to develop a novel distributed management system based on AI techniques and novel predictive analytics to manage energy storage, renewable energy, distributed generators, and etc. 

email: xin.chen.nj at gmail.com / xin.chen.nj at xjtu.edu.cn

We developed AI Powered Energy Storage System and more details can be found in the PPT slideshttp://qinren.tech/storageeco.html

我们发展电池状态虚实对应,数据驱动的人工智能电池管理系统。我们希望和动力电池,储能相关企业合作发展AI Powered SOC/SOC Predictive Analystics 和 电池管理系统 (BMS),以及动力电池历史数据在动力电池梯度使用, 电池定价,电池资产管理等方面的应用。相关信息可以参考我们的PPT,http://qinren.tech/storageeco.html

Want to know more about our work, click here!  

 

 

 

 

 

 

 

 

Layered Hexagonal Oxycarbides, Mn+1AO2Xn : Unexpected Photovoltaic Ceramics

 

 

Lithium–Air Batteries: TiC MXene High Energy Density Cathode for Lithium–Air Battery 

 

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